At a Glance
- Tasks: Lead the design and build of innovative Multi-Agent Systems while mentoring a talented AI team.
- Company: Join a top-tier AWS Premier Partner with a focus on cutting-edge AI solutions.
- Benefits: Competitive salary, flexible hours, and the chance to shape the future of AI.
- Other info: Remote-first culture with opportunities for significant career growth.
- Why this job: Tackle challenging client problems and make a real impact in the AI field.
- Qualifications: 7+ years in engineering with strong hands-on AI experience and team leadership skills.
The predicted salary is between 115000 - 115000 € per year.
Remote (UK-based) | ~£115,000 | Flexible hours
About the Company
My client is a specialist services firm working across DevOps, Data, and AI and one of only a handful of AWS Premier Partners (the top ~4% of all AWS partners). They started life as a DevOps business, grew into Data and AI, and are now around 80 people globally. They're self-funded rather than VC-backed, which has kept their growth disciplined and their focus on doing the work properly rather than chasing headcount. The five-year plan is to become one of the top five service providers in their space globally. They get pulled in on the genuinely hard agentic problems the stuff clients can't crack in-house and they're now hiring an AI Team Lead to take the lead on that work and build the team around it.
About the Role
This is a hands-on role for someone happy to lead from the front. You'll be the technical anchor on the agentic work, taking messy, ambiguous client problems and turning them into proper multi-agent systems that hold up in production. You'll set the technical direction, work closely with senior stakeholders, and grow the team that delivers it. It reports into a highly technical lead who sets a genuinely high standard, so this suits someone who takes real pride in the quality of what they build. There's a lot of room to shape how things get done, so it's a better fit for someone who likes building than maintaining.
What You'll Do
- Own the design and build of their Multi-Agent Systems (MAS), picking the right patterns and frameworks for each problem rather than forcing one approach
- Lead and mentor a team of around 15 AI Engineers, and keep the engineering bar high
- Play a big part in hiring as the team grows
- Design the memory and context side of things (user preferences, sliding windows, semantic recall) so agents stay coherent and useful over time
- Set the evaluation standards making sure everything that ships is safe, reliable, and performs in production
- Work directly with clients turning their requirements into real architecture and keeping them close throughout
What They're Looking For
- Strong hands-on agentic AI experience you've designed and built AI architecture, not just directed it
- 7+ years in engineering, with at least 2 of those in Gen AI or agentic systems
- 5+ years of Python, and someone who genuinely cares about clean, modular code
- Some experience leading or mentoring a team even at Team Lead level is fine; technical credibility matters more than a long management CV
- Solid production experience with AWS Bedrock and/or GCP Vertex AI
- Proper battle scars from running agentic systems in production, not just demos
- Genuinely customer-facing and commercially aware — strong communicator, good with people, low ego
Nice to Have
- Experience with multimodal systems text, audio, vision, structured data
- A consulting or service-provider background, so you're used to handling client requirements and technical stakeholders
Why It's Worth a Look
- AWS Premier Partner a genuinely serious technical shop, not a body-shop
- Self-funded and growing fast, with big ambitions and the discipline to back them
- Hard, interesting client problems real agentic work, not internal tooling
- Real ownership over how the agentic practice is built and run
- Remote-first with flexible hours
Head of Artificial Intelligence employer: asobbi
As a leading specialist services firm and an AWS Premier Partner, we pride ourselves on our disciplined growth and commitment to tackling complex client challenges in the realms of DevOps, Data, and AI. Our remote-first culture offers flexible hours, empowering you to take ownership of your work while collaborating with a talented team dedicated to high-quality outcomes. With ample opportunities for professional development and the chance to shape the future of our AI practice, this is an exciting environment for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Artificial Intelligence
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects that highlight your AI expertise, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience and technical credibility.
✨Tip Number 3
Prepare for the tough questions! Since this role involves solving complex problems, be ready to discuss how you've tackled similar challenges in the past. Use specific examples to showcase your agentic AI experience.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Head of Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your hands-on AI experience and any leadership roles you've had, as we want to see how you can lead our team effectively.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share examples of how you've tackled complex problems in the past, as this role is all about turning messy challenges into structured solutions.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise, especially in Python and AWS or GCP. We’re looking for someone who takes pride in clean, modular code, so give us a glimpse of your coding style and any projects that demonstrate your capabilities.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at asobbi
✨Know Your Stuff
Make sure you brush up on your hands-on AI experience, especially with multi-agent systems. Be ready to discuss specific projects where you've designed and built AI architecture, as this role demands a strong technical foundation.
✨Showcase Leadership Skills
Even if you haven't held a formal management position, highlight any mentoring or team-leading experiences. Talk about how you've maintained high engineering standards and supported your team in achieving their goals.
✨Understand Client Needs
Since this role involves direct client interaction, prepare to discuss how you've turned client requirements into actionable architecture. Share examples of how you've kept clients engaged and satisfied throughout the project lifecycle.
✨Be Ready for Technical Challenges
Expect to face some tough questions about your experience with AWS Bedrock or GCP Vertex AI. Prepare to explain how you've tackled real-world problems in production environments, showcasing your ability to handle ambiguity and complexity.
